lantern_extras
Routines for generating, manipulating, parsing, importing vector embeddings into Postgres tables (by lanterndata)
lanterndb-semantic-image-sear
By ezra-varady
| lantern_extras | lanterndb-semantic-image-sear | |
|---|---|---|
| 2 | 1 | |
| 12 | - | |
| - | - | |
| 9.3 | - | |
| 3 days ago | - | |
| Rust | ||
| GNU General Public License v3.0 or later | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
lantern_extras
Posts with mentions or reviews of lantern_extras.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-17.
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Embeddings are a good starting point for the AI curious app developer
We provide this functionality in Lantern cloud via our Lantern Extras extension: <https://github.com/lanterndata/lantern_extras>
You can generate CLIP embeddings locally on the DB server via:
SELECT abstract, -
Show HN: Lantern – a PostgreSQL vector database for building AI applications
We agree. These functions are already in another repository, and not part of the same extension. The repository is here: https://github.com/lanterndata/lantern_extras
lanterndb-semantic-image-sear
Posts with mentions or reviews of lanterndb-semantic-image-sear.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-13.
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Show HN: Lantern – a PostgreSQL vector database for building AI applications
This might be a noob question but what does Lantern have that a normal Postgres dB with pgvector does not? I think Supabase already has a Postgres as a service product with the pgvector extension too.
Second:
>Creating an AI application end to end without leaving your database (example: https://github.com/ezra-varady/lanterndb-semantic-image-sear...)
What does "without leaving your database" mean in this context?
What are some alternatives?
When comparing lantern_extras and lanterndb-semantic-image-sear you can also consider the following projects:
react-semantic-search
lantern - PostgreSQL vector database extension for building AI applications
fastembed-rs - Library to generate vector embeddings. Rust implementation of Qdrant's FastEmbed.